IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v262y2017i1p217-230.html
   My bibliography  Save this article

Toward an integrated workforce planning framework using structured equations

Author

Listed:
  • Doumic, Marie
  • Perthame, Benoît
  • Ribes, Edouard
  • Salort, Delphine
  • Toubiana, Nathan

Abstract

Strategic Workforce Planning is a company process providing best in class, economically sound, workforce management policies and goals. Despite the abundance of literature on the subject, this is a common challenge in terms of implementation. Reasons span from the youth of the field itself to broader data integration concerns that arise from gathering information from financial, human resource and business excellence systems. This paper aims at setting the first steps to a simple yet robust quantitative framework for Strategic Workforce Planning exercises. First a method based on structured equations is detailed. It is then used to answer two main workforce related questions: how to optimally hire to keep labor costs flat? How to build an experience constrained workforce at a minimal cost?

Suggested Citation

  • Doumic, Marie & Perthame, Benoît & Ribes, Edouard & Salort, Delphine & Toubiana, Nathan, 2017. "Toward an integrated workforce planning framework using structured equations," European Journal of Operational Research, Elsevier, vol. 262(1), pages 217-230.
  • Handle: RePEc:eee:ejores:v:262:y:2017:i:1:p:217-230
    DOI: 10.1016/j.ejor.2017.03.076
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221717303077
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2017.03.076?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gerchak, Yigal & Parlar, Mahmut & Sengupta, S. Sankar, 1990. "On manpower planning in the presence of learning," Engineering Costs and Production Economics, Elsevier, vol. 20(3), pages 295-303, December.
    2. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    3. Song, Haiqing & Huang, Huei-Chuen, 2008. "A successive convex approximation method for multistage workforce capacity planning problem with turnover," European Journal of Operational Research, Elsevier, vol. 188(1), pages 29-48, July.
    4. Anderson, Edward G., 2001. "Managing the impact of high market growth and learning on knowledge worker productivity and service quality," European Journal of Operational Research, Elsevier, vol. 134(3), pages 508-524, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Edouard Ribes, 2020. "Organizational sustainability and career frameworks in professional services firms," Economics Bulletin, AccessEcon, vol. 40(1), pages 880-889.
    2. Edouard Ribes & Karim Touahri & Benoît Perthame, 2017. "Employee turnover prediction and retention policies design: a case study," Working Papers hal-01556746, HAL.
    3. Edouard Ribes, 2018. "Growth patterns of US professional services firms," Working Papers hal-01762381, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marie Doumic & Benoît Perthame & Edouard Ribes & Delphine Salort & Nathan Toubiana, 2017. "Toward an integrated workforce planning framework using structured equations," Post-Print hal-01343368, HAL.
    2. Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George & Korfiatis, Nikolaos, 2021. "The informational value of employee online reviews," European Journal of Operational Research, Elsevier, vol. 288(2), pages 605-619.
    3. Marie Doumic & Benoît Perthame & Edouard Ribes & Delphine Salort & Nathan Toubiana, 2016. "Toward an integrated workforce planning framework using structured equations," Working Papers hal-01343368, HAL.
    4. Marie Doumic & Beno^it Perthame & Edouard Ribes & Delphine Salort & Nathan Toubiana, 2016. "Toward an integrated workforce planning framework using structured equations," Papers 1607.02349, arXiv.org, revised Dec 2016.
    5. De Bruecker, Philippe & Beliën, Jeroen & Van den Bergh, Jorne & Demeulemeester, Erik, 2018. "A three-stage mixed integer programming approach for optimizing the skill mix and training schedules for aircraft maintenance," European Journal of Operational Research, Elsevier, vol. 267(2), pages 439-452.
    6. Restrepo, María I. & Gendron, Bernard & Rousseau, Louis-Martin, 2017. "A two-stage stochastic programming approach for multi-activity tour scheduling," European Journal of Operational Research, Elsevier, vol. 262(2), pages 620-635.
    7. Opacic, Luke & Sowlati, Taraneh & Mobini, Mahdi, 2018. "Design and development of a simulation-based decision support tool to improve the production process at an engineered wood products mill," International Journal of Production Economics, Elsevier, vol. 199(C), pages 209-219.
    8. O. Zeynep Akşin, 2007. "On valuing appreciating human assets in services," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(2), pages 221-235, March.
    9. Lotfi Hidri & Achraf Gazdar & Mohammed M. Mabkhot, 2020. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-24, November.
    10. Korytkowski, Przemyslaw & Malachowski, Bartlomiej, 2019. "Competence-based estimation of activity duration in IT projects," European Journal of Operational Research, Elsevier, vol. 275(2), pages 708-720.
    11. Erhard, Melanie & Schoenfelder, Jan & Fügener, Andreas & Brunner, Jens O., 2018. "State of the art in physician scheduling," European Journal of Operational Research, Elsevier, vol. 265(1), pages 1-18.
    12. Zhang, Zizhen & Qin, Hu & Wang, Kai & He, Huang & Liu, Tian, 2017. "Manpower allocation and vehicle routing problem in non-emergency ambulance transfer service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 45-59.
    13. Delorme, Xavier & Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y., 2019. "Minimizing the number of workers in a paced mixed-model assembly line," European Journal of Operational Research, Elsevier, vol. 272(1), pages 188-194.
    14. Snauwaert, Jakob & Vanhoucke, Mario, 2023. "A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 307(1), pages 1-19.
    15. Guastaroba, G. & Côté, J.-F. & Coelho, L.C., 2021. "The Multi-Period Workforce Scheduling and Routing Problem," Omega, Elsevier, vol. 102(C).
    16. Edieal J. Pinker & Robert A. Shumsky, 2000. "The Efficiency-Quality Trade-Off of Cross-Trained Workers," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 32-48, July.
    17. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.
    18. Pieter Smet & Annelies Lejon & Greet Vanden Berghe, 2021. "Demand smoothing in shift design," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 457-484, June.
    19. Leung, Polly P.L. & Wu, C.H. & Kwong, C.K. & Ip, W.H. & Ching, W.K., 2021. "Digitalisation for optimising nursing staff demand modelling and scheduling in nursing homes," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    20. Anderson, Edward G., 2001. "Managing the impact of high market growth and learning on knowledge worker productivity and service quality," European Journal of Operational Research, Elsevier, vol. 134(3), pages 508-524, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:262:y:2017:i:1:p:217-230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.